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Family‐based genome scan for age at onset of late‐onset Alzheimer's disease in whole exome sequencing data
Alzheimer's disease (AD) is a common and complex neurodegenerative disease. Age at onset (AAO) of AD is an important component phenotype with a genetic basis, and identification of genes in which variation affects AAO would contribute to identification of factors that affect timing of onset. In...
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Published in: | Genes, brain and behavior brain and behavior, 2015-11, Vol.14 (8), p.607-617 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Request full text |
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Summary: | Alzheimer's disease (AD) is a common and complex neurodegenerative disease. Age at onset (AAO) of AD is an important component phenotype with a genetic basis, and identification of genes in which variation affects AAO would contribute to identification of factors that affect timing of onset. Increase in AAO through prevention or therapeutic measures would have enormous benefits by delaying AD and its associated morbidities. In this paper, we performed a family‐based genome‐wide association study for AAO of late‐onset AD in whole exome sequence data generated in multigenerational families with multiple AD cases. We conducted single marker and gene‐based burden tests for common and rare variants, respectively. We combined association analyses with variance component linkage analysis, and with reference to prior studies, in order to enhance evidence of the identified genes. For variants and genes implicated by the association study, we performed a gene‐set enrichment analysis to identify potential novel pathways associated with AAO of AD. We found statistically significant association with AAO for three genes (WRN, NTN4 and LAMC3) with common associated variants, and for four genes (SLC8A3, SLC19A3, MADD and LRRK2) with multiple rare‐associated variants that have a plausible biological function related to AD. The genes we have identified are in pathways that are strong candidates for involvement in the development of AD pathology and may lead to a better understanding of AD pathogenesis.
In a dataset of whole exome‐sequenced Alzheimer's disease (AD) patients, we conducted single‐marker and gene‐based burden tests of age at onset (AAO) of AD for common and rare variants, respectively. We then performed a linkage analysis to add strength to our association signals. Moreover, we performed a gene‐set enrichment analysis on the association signals to identify potential novel pathways associated with AAO. We found statistically significant association with AAO for seven genes (WRN, NTN4, LAMC3, SLC8A3, SLC19A3, MADD and LRRK2) that have a plausible biological function related to AD. The identified genes are in pathways that are strong candidates for involvement in the development of AD pathology and may lead to a better understanding of AD pathogenesis. Finally, we obtained promising linkage regions in which several of association signals are located. |
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ISSN: | 1601-1848 1601-183X |
DOI: | 10.1111/gbb.12250 |